ODS breakfast in Paris! See you this Saturday (28th) at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.

Robots from #BostonDynamics are now on sale

https://www.youtube.com/watch?v=wlkCQXHEgjA

#RL #Robotics

🔥 Tensorflow 2.0 release

Faster
TPU support
TensorFlow datasets

Change log: https://medium.com/tensorflow/tensorflow-2-0-is-now-available-57d706c2a9ab

#google #tensorflow #dl #tf

🎓CS224W: Machine Learning with Graphs

Great course from #Stanford. You still on time to jump at studying from one of the best schools.

Students are introduced to machine learning techniques and data mining tools apt to reveal insights on the social, technological, and natural worlds, by means of studying their underlying network structure and interconnections.

Topics include: robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; graph neural networks and representation learning; identification of functional modules in biological networks; disease outbreak detection.

Link: http://cs224w.stanford.edu
Videos link: http://snap.stanford.edu/class/cs224w-videos-2019/

#MOOC #entrylevel #wheretostart

​​GANs from Scratch 1: A deep introduction.

Great introduction and tutorial. With code in PyTorch and TensorFlow

Link: https://medium.com/ai-society/gans-from-scratch-1-a-deep-introduction-with-code-in-pytorch-and-tensorflow-cb03cdcdba0f

#tensorflow #pytorch #GAN #tutorial #entrylevel #novice #wheretostart

Classification and Loss Evaluation - Softmax and Cross Entropy Loss

Nice notes on softmax cross entropy loss and how to implement it in numpy.

Link: https://deepnotes.io/softmax-crossentropy

#nn #entrylevel #wheretostart

Big scandal on popular YouTuber ML course

Siraj Raval, who raised his audience on devliering various YouTube videos, explaning #ML and #DL concepts as long with interviews with leading persons, launched his own course, but failed to provide much value.

His course was built on open and free tutorials, created by passionate enthusiasts, but he failed to attribute them properly and charged money for ununique content without any proper support for students.

He also oversold his course and tried to hide that from students, claiming to provide personal feedbacks, but failing to do so due to being too greedy.


Most of the best online courses and study programms are available online and for free, including those, we gathered here on our channel and attributed with hastags #wheretostart #entrylevel #MOOC #tutorial. Feel free to click these hashtags and browse for best available resources to start learning data science.

Link: https://www.theregister.co.uk/AMP/2019/09/27/youtube_ai_star

For example, this post.

Or this one

This one and the post above.

GPT-2 hadn’t (yet) fooled jury at The Economist’s Open Future Essay Contest

Though one of the judges suggested that «It is strongly worded and backs up claims with evidence, but the idea is not incredibly original.»

Link: https://www.economist.com/open-future/2019/10/01/how-to-respond-to-climate-change-if-you-are-an-algorithm

#NLP #GPT2 #NLU

27,600 V100 GPUs, 0.5 PB data, and a neural net with 220,000,000 weights

If you wonder, it all was used to address scientific inverse problem in materials imaging.

ArXiV: https://arxiv.org/pdf/1909.11150.pdf

#ItIsNotAboutSize #nn #dl

​​📹Artificial caricature

Agents learn to draw simplified (artistic?) portraits via trial and error.

Project website: https://learning-to-paint.github.io
ArXiV: https://arxiv.org/abs/1910.01007

#GAN #CelebA #DL

#strange

An awesome list of dev-related movies: https://github.com/aryaminus/dev-movies

In case you don't have enough of development at work!

Looks like #google started fighting automatic #captcha recognition systems with adding noise to the images.

Video on how Facebook continues to develop its #Portal device

How #Facebook used Mask R-CNN, #PyTorch, and custom hardware integrations like foveated processing to improve Portal’s Smart Camera system.

Link: https://ai.facebook.com/blog/smart-camera-portal-advances/

#CV #DL #Segmentation

8 Deep Learning / Computer Vision Bugs And How I Could Have Avoided Them

Nice article about common pitfalls in #CV and #DL

Link: https://medium.com/@arseny_info/8-deep-learning-computer-vision-bugs-and-how-i-could-have-avoided-them-d40b0e4b1da

Don't forget to give author claps!

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

High-quality #speechrecognition systems require large amounts of data—yet many languages have little data available. Check out new research into an end-to-end system trained as a single model allowing for real-time multilingual speech recognition.

Link: https://ai.googleblog.com/2019/09/large-scale-multilingual-speech.html

#speech #audio #DL #Google

Library for Scikit-learn parallelization

Operations like grid search, random forest, and others that use the njobs parameter in Scikit-Learn can automatically hand-off parallelism to a Dask cluster.

Link: https://ml.dask.org/joblib.html

#ML #scikitlearn

🔥🔥🔥Tomorrow we will hold an AMA session with Alexey Moiseenkov — ex-founder of #Prisma app (2016), which made neural networks popular and commodity nowadays. Now he works on #Capture app, bringing power of visual search in attempt to revolutionize messagers as we know them.

Please send questions through Google form. Make sure you provide your telegram nickname for clearing up question details.

Best to ask questions regarding his area of expertise (please do you homework and read existing interview):

1. Managing DS research
2. Product management in DS: how to control engeineers, how to manage team
3. How to build viral products
4. Fundrasing for messenger / DS products
5. Recruitment questions, building HR brand
6. How to find idea for a startup

Interview with Alexey: https://www.businessinsider.com/prisma-labs-app-profile-interview-with-ceo-alexey-moiseenkov-2016-8
Google forms link for questions: https://forms.gle/GupBUvkyqLp6kDvi8